Scalable video summarization of cultural video documents in cross-media space based on data cube approach

Karina R. Perez-Daniel, Mariko Nakano Miyatake, Jenny Benois-Pineau, Sofian Maabout, Gabriel Sargent

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Video summarization has been a core problem to manage the growing amount of content in multimedia databases. An efficient video summary should display an overview of the video content and most of existing approaches fulfil this goal. However the information does not allow user to get all details of interest selectively and progressively. This paper proposes a scalable video summarization approach which provides multiple views and levels of details. Our method relies on the usage of cross media space and consensus clustering method. A video document is modelled as a data cube where the level of details is refined over nonconsensual features of the space. The method is designed for weakly structured content such as cultural documentaries and was tested on the INA corpus of cultural archives.

Idioma originalInglés
Título de la publicación alojada2014 12th International Workshop on Content-Based Multimedia Indexing, CBMI 2014
EditorialIEEE Computer Society
ISBN (versión impresa)9781479939909
DOI
EstadoPublicada - 2014
Evento12th International Workshop on Content-Based Multimedia Indexing, CBMI 2014 - Klagenfurt, Austria
Duración: 18 jun. 201420 jun. 2014

Serie de la publicación

NombreProceedings - International Workshop on Content-Based Multimedia Indexing
ISSN (versión impresa)1949-3991

Conferencia

Conferencia12th International Workshop on Content-Based Multimedia Indexing, CBMI 2014
País/TerritorioAustria
CiudadKlagenfurt
Período18/06/1420/06/14

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